Why We Fear AI On the Interpretation of Nightmares | 613.31 KB
Title: Why We Fear AI
Author: Hagen Blix
Category: Nonfiction, Science & Nature, Technology, Automation, Computers, Advanced Computing, Artificial Intelligence, Social & Cultural Studies, Political Science
Language: English | 228 Pages | ISBN: 1945335173
Description:
Fears about AI tell us more about capitalism today than technology in the future.
Will AI come and take all our jobs? Will it dominate humanity, hack the foundations of our civilization, or even wipe humans of the face of the planet? All kinds of people seem to think so. From academics to billionaires, artists to fraudsters, journalists to the pope, AI nightmares have gripped the popular imagination. Why We Fear AI boldly asserts these fears are actually about capitalism, reimagined as a kind of autonomous intelligent agent.
Science and tech industry insiders Hagen Blix and Ingeborg Glimmer dive into the dark, twisted, and arcane world of AI nightmares in order to demystify what people say about it. They combine expertise in cognitive science and machine learning with political and economic analyses to cut through the hype and technobabble, and show how fears about AI reflect very different economic realities: from venture capitalists to AI engineers,…
Fears about AI tell us more about capitalism today than technology in the future.
Will AI come and take all our jobs? Will it dominate humanity, hack the foundations of our civilization, or even wipe humans of the face of the planet? All kinds of people seem to think so. From academics to billionaires, artists to fraudsters, journalists to the pope, AI nightmares have gripped the popular imagination. Why We Fear AI boldly asserts these fears are actually about capitalism, reimagined as a kind of autonomous intelligent agent.
Science and tech industry insiders Hagen Blix and Ingeborg Glimmer dive into the dark, twisted, and arcane world of AI nightmares in order to demystify what people say about it. They combine expertise in cognitive science and machine learning with political and economic analyses to cut through the hype and technobabble, and show how fears about AI reflect very different economic realities: from venture capitalists to AI engineers,…
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